Featured Session: Real-Time Image Recognition with Apache Spark
MemSQL CTO, Nikita Shamgunov will share image recognition techniques available with Apache Spark, and how to put those techniques into production.
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Real-Time Data Pipelines Demo
Stop by the MemSQL Booth to see a demo of MemSQL Pipelines, and find out how to effortlessly ingest Kafka feeds with exactly-once semantics.
Take home a MemSQL tshirt, O'Reilly Machine Learning book, and enter for a chance to win an Estes Proto-X Drone
FEATURED SESSION WITH MEMSQL CO-FOUNDER AND CTO, NIKITA SHAMGUNOV
Stop by the MemSQL Booth to grab a free copy of our new O'Reilly Book - The Path to Predictive Analytics and Machine Learning.
Learn How To:
Build real-time data pipelines, live dashboards, and machine learning applications
Prepare data pipelines for predictive analytics and machine learning
Apply predictive analytics to real-time challenges
Use techniques for predictive analytics in production
Move from machine learning to artificial intelligence
This session will examine the image recognition techniques available with Apache Spark, and how to put those techniques into production. It will further explore algebraic operations on tensors, and how that can assist in large-scale, high-throughput, highly-parallel image recognition. In particular, this session will showcase the use of Spark in conjunction with a high-performance database to operationalize these workflows.
Learn about a combination of:
Architectural considerations in building and image recognition pipeline
Advantages and pitfalls of specific approaches
Real-time capabilities for instant matches
Use of a fast relational datastore to persist data from Spark
Watch Nikita's talk from Spark Summit East